A new hybrid ensemble machine-learning model for severity risk assessment and post-COVID prediction system.

Shakhovska, Natalya; Yakovyna, Vitaliy; Chopyak, Valentyna

Shakhovska, Natalya; Yakovyna, Vitaliy; Chopyak, Valentyna.

Afiliación

Shakhovska N; Department of Artificial Intelligence, Lviv Polytechnic National University, Lviv 79013, Ukraine.
Yakovyna V; Department of Artificial Intelligence, Lviv Polytechnic National University, Lviv 79013, Ukraine.
Chopyak V; Faculty of Mathematics and Computer Science, University of Warmia and Mazury, Olsztyn 10719, Poland.

Math Biosci Eng ; 19(6): 6102-6123, 2022 04 13.

Article en En | MEDLINE | ID: mdl-35603393

Asunto(s)

COVID-19; SARS-CoV-2; Teorema de Bayes; COVID-19/diagnóstico; COVID-19/epidemiología; Humanos; Aprendizaje Automático; Pandemias; Medición de Riesgo

Palabras clave

COVID-19; biomarkers; ensemble classification; machine learning; severity prediction

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: SARS-CoV-2 / COVID-19 Tipo de estudio: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Humans Idioma: En Revista: Math Biosci Eng Año: 2022 Tipo del documento: Article País de afiliación: Ucrania

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